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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 2-RES-JB
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    specific pharmaceutical company names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the pharmaceutical company Roche

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ÑĮ
    -0.94
    achusetts
    -0.83
     ILCS
    -0.82
    onent
    -0.80
    iates
    -0.76
    Reviewer
    -0.73
    iating
    -0.73
     sqor
    -0.72
    igans
    -0.71
    aughter
    -0.69
    POSITIVE LOGITS
     Roche
    1.04
    fort
    1.01
    lys
    0.97
    stal
    0.92
    tto
    0.90
    lette
    0.86
    oche
    0.86
    stre
    0.84
    zen
    0.83
    lda
    0.83
    Activations Density 0.023%

    No Known Activations